Research Design & Methodology
Turn a research idea into a design that reviewers accept.
Correct analysis, documented step by step, with results you can explain to a committee or a board.
We clean and document your data, run the analysis that fits your design, and report it in the form your reviewers expect. You receive the syntax or code with the output, and a session to go through what the results mean.
When one outcome is explained by several predictors: linear, logistic, Poisson and other GLMs.
When observations are nested, such as students within schools or repeated measures within people.
When the outcome is the time until an event and some cases are censored.
When the model has latent constructs and several linked relationships (CB-SEM or PLS-SEM).
1
You describe the project through the request form or a call. No data are needed at this stage.
2
We review the design and agree the deliverables, exclusions, timeline and fee in writing.
3
The assigned consultant does the work and records methods, assumptions and changes.
4
A second specialist reviews the methods and outputs before release.
5
You receive the deliverables, the code and a walkthrough session, with the agreed revision rounds.
SPSS, R, Python, Stata and SmartPLS. We agree the software with you at the start, usually the one your institution or journal expects.
Yes. Every analysis is delivered with its syntax or script and a short note on the decisions made.
Yes. We first review how the data were collected and what they can support, then propose an analysis plan.
Not through this website. Once the scope is agreed we set up a suitable transfer route and explain how to remove direct identifiers first.
Turn a research idea into a design that reviewers accept.
Models for forecasting, causal questions and large datasets.
Questionnaires and scales that measure what they claim to.
Describe the project in a few minutes. Complex research is quoted after scoping, never from a price list.